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Record W2039786280 · doi:10.1080/15562940903150089

Participatory-Action Research with (Im)migrant Women in Two Small Canadian Cities: Using Photovoice in Kingston and Peterborough, Ontario

2009· article· en· W2039786280 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Immigrant & Refugee Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsPhotovoiceParticipatory action researchImmigrationCitizen journalismSociologyGender studiesFeelingAction (physics)Vulnerability (computing)Media studiesPsychologySocial psychologyPolitical scienceVisual artsAnthropologyLawArt

Abstract

fetched live from OpenAlex

Photovoice is a participatory-action method that facilitates an opportunity for participants to tell stories about their lives using photographic images that they have created. The “Mapping Vulnerability, Picturing Place” project successfully used this method to explore the experiences of women who migrated to Canada in one of two small Canadian cities. As a part of this project, this article analyzes the nuances and differing experiences between international students and immigrant women. The results show that photovoice enables participants to convey their feelings, interpretations, and experiences in a manner to which the viewer/observer can understand and relate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.679
GPT teacher head0.616
Teacher spread0.064 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it